![Mentimeter](https://media.trabajo.org/img/noimg.jpg)
Lead Data Insights Specialist
7 hours ago
Mentimeter is a pioneering engagement tool that relies on data to drive its business forward. As a Senior Data Scientist, you will play a critical role in developing and implementing data-driven strategies that enable the business to make informed decisions and drive growth. With your expertise in machine learning and data analysis, you will design and deploy predictive models, analyze complex data sets, and collaborate closely with cross-functional teams to identify areas for improvement and develop targeted solutions.
The Data & Analytics department is dedicated to providing actionable insights and solutions that enable better decision-making across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion. In this role, you'll have the opportunity to work with a talented team of data scientists, data engineers, user researchers, product managers, and company leaders who are passionate about leveraging data to achieve business success.
Some of the key responsibilities of this role include:
* Designing and deploying machine learning models with a focus on production deployment;
* Elevating the data science craft within the Data & Analytics department by setting new standards, implementing innovative approaches, and best practices;
* Collaborating closely with our Data Platform Team, Analytics Engineering, and other sister teams to enable the business to proactively act on data and create business impact;
* Providing mentorship and technical guidance to team members, fostering a culture of continuous learning and growth;
* Translating complex data analyses into compelling narratives and visualizations that resonate with diverse audiences;
To succeed in this role, you'll need to possess a minimum of 8 years of relevant work experience, proven expertise in data science methodologies, strong proficiency in machine learning techniques and programming languages (e.g., Python and SQL), and a deep understanding of sales, marketing, and product analytics. Additionally, you should have expertise in ML modeling with a focus on production deployment and ML engineering best practices, solid software engineering practices, and experience collaborating with data engineers on data pipelines, model deployment, and monitoring.
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